IDEAS home Printed from https://ideas.repec.org/p/ags/uerstb/292267.html
   My bibliography  Save this paper

Frequency and Time of Day That Americans Eat: A Comparison of Data From the American Time Use Survey and the National Health and Nutrition Examination Survey

Author

Listed:
  • Zeballos, Eliana
  • Todd, Jessica E.
  • Restrepo, Brandon

Abstract

Since 2003, the American Time Use Survey (ATUS) has collected detailed information about how Americans spend their time by asking respondents to identify primary or main activities they were engaged in over a full 24-hour period, including eating. This means that the ATUS misses “secondary” eating occasions that occur while an individual is otherwise occupied doing something else that is considered to be primary, such as working or watching TV. The Eating & Health Module (EHM) was designed to collect these secondary eating occasions and was included as a supplement to the ATUS during 2006-08 and again in 2014-16. This report compares the number and timing of eating occasions reported in the 2014-16 ATUS-EHM to those reported in the dietary intake component of the 2013-16 National Health and Nutrition Examination Survey (NHANES), which is considered to contain the best available data for estimating average daily dietary intake among the U.S. population. Findings show that the EHM reduces the gap between the ATUS and NHANES with respect to the total number of eating occasions during the day, as well as the share of people reporting eating during each hour of the day, but overall the ATUS-EHM does not capture as many eating occasions as NHANES. When the analysis excludes more easily forgotten eating occasions—that is, drinks and snacks—from the NHANES data, the ATUS-EHM data capture 93.1 percent of all eating occasions reported in NHANES.

Suggested Citation

  • Zeballos, Eliana & Todd, Jessica E. & Restrepo, Brandon, "undated". "Frequency and Time of Day That Americans Eat: A Comparison of Data From the American Time Use Survey and the National Health and Nutrition Examination Survey," Technical Bulletins 292267, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:292267
    DOI: 10.22004/ag.econ.292267
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/292267/files/TB-1954.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.292267?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zeballos, Eliana & Restrepo, Brandon, 2018. "Adult Eating and Health Patterns: Evidence From the 2014-16 Eating & Health Module of the American Time Use Survey," Economic Information Bulletin 291930, United States Department of Agriculture, Economic Research Service.
    2. Mancino, Lisa & Todd, Jessica & Lin, Biing-Hwan, 2009. "Separating what we eat from where: Measuring the effect of food away from home on diet quality," Food Policy, Elsevier, vol. 34(6), pages 557-562, December.
    3. Hamrick, Karen S. & Andrews, Margaret & Guthrie, Joanne & Hopkins, David & McClelland, Ket, 2011. "How Much Time Do Americans Spend on Food?," Economic Information Bulletin 291940, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Benjamin Scharadin & Yang Yu & Edward C. Jaenicke, 2021. "Household time activities, food waste, and diet quality: the impact of non-marginal changes due to COVID-19," Review of Economics of the Household, Springer, vol. 19(2), pages 399-428, June.
    2. Benjamin Scharadin & Edward C. Jaenicke, 2020. "Time spent on childcare and the household Healthy Eating Index," Review of Economics of the Household, Springer, vol. 18(2), pages 357-386, June.
    3. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module," Technical Bulletins 131556, United States Department of Agriculture, Economic Research Service.
    4. Yen, Steven T. & Kasteridis, Panagiotis P. & Riley, John B., 2012. "Food Expenditures away from Home by Elderly Households," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124981, Agricultural and Applied Economics Association.
    5. Qi, Danyi & Li, Ran & Penn, Jerrod & Houghtaling, Bailey & Prinyawiwatkul, Witoon & Roe, Brian E., 2021. "Does Nudging More Vegetable Consumption Result in More Waste? Evidence from a Randomized Dining Experiment," 2021 Annual Meeting, August 1-3, Austin, Texas 313980, Agricultural and Applied Economics Association.
    6. Liu, Miaoru & Kasteridis, Panagiotis & Yen, Steven T., 2013. "Breakfast, lunch, and dinner expenditures away from home in the United States," Food Policy, Elsevier, vol. 38(C), pages 156-164.
    7. Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman, 2021. "Heterogeneity in food expenditure among US families: evidence from longitudinal quantile regression," Indian Economic Review, Springer, vol. 56(1), pages 25-48, June.
    8. Hamrick, Karen S. & McClelland, Ket, 2016. "Americans' Eating Patterns and Time Spent on Food: The 2014 Eating & Health Module Data," Economic Information Bulletin 262141, United States Department of Agriculture, Economic Research Service.
    9. Jessica E. Todd & Lisa Mancino & Brandon J. Restrepo & Claudine Kavanaugh & Chris Dicken & Vince Breneman, 2021. "Food Away From Home And Caloric Intake: The Role Of Restaurant Menu Labeling Laws," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 53-71, January.
    10. Waehrer, Geetha & Deb, Partha & Decker, Sandra L., 2015. "Did the 2009 American Recovery and Reinvestment Act affect dietary intake of low-income individuals?," Economics & Human Biology, Elsevier, vol. 19(C), pages 170-183.
    11. Richards, Timothy J. & Mancino, Lisa, 2012. "Demand for Food Away from Home: A Multiple Discrete/Continuous Extreme Value Model," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 127103, International Association of Agricultural Economists.
    12. Carlson, Andrea & Dong, Diansheng & Lino, Mark, 2014. "Association between Total Diet Cost and Diet Quality Is Limited," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(01), pages 1-22, April.
    13. Zaiceva, A., 2022. "Multitasking," MERIT Working Papers 2022-031, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    14. Linda Thunström, 2019. "Welfare effects of nudges: The emotional tax of calorie menu labeling," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(1), pages 11-25, January.
    15. Xiang, Di & Zhan, Lue & Bordignon, Massimo, 2020. "A reconsideration of the sugar sweetened beverage tax in a household production model," Food Policy, Elsevier, vol. 95(C).
    16. Brandon J. Restrepo & Eliana Zeballos, 2020. "The effect of working from home on major time allocations with a focus on food-related activities," Review of Economics of the Household, Springer, vol. 18(4), pages 1165-1187, December.
    17. Iwona Kowalczuk & Dagmara Stangierska & Jerzy Gębski & Agnieszka Tul-Krzyszczuk & Edyta Zmudczyńska, 2021. "Digital Consumers in the Foodservices Market," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    18. Cho, Sungju & Lee, Sanghyeon, 2016. "Multilevel Analysis On Mother’S Nutrition Label Use And Children’S Propensity For Being Overweight," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 39(Special, ), pages 1-24, December.
    19. Smith, Travis A. & Lin, Biing-Hwan & Coats, Ellen, 2015. "The Evolving Role of Food Sourced Outside the Home on Diets in the U.S.: 1977-2010," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205770, Agricultural and Applied Economics Association.
    20. Lin, Biing-Hwan & Smith, Travis A. & Lee, Jonq-Ying & Hall, Kevin D., 2011. "Measuring weight outcomes for obesity intervention strategies: The case of a sugar-sweetened beverage tax," Economics & Human Biology, Elsevier, vol. 9(4), pages 329-341.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:uerstb:292267. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ersgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.